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CySecBERT: A Domain-Adapted Language Model for the Cybersecurity Domain. (arXiv:2212.02974v1 [cs.CR])
Dec. 7, 2022, 2:10 a.m. | Markus Bayer, Philipp Kuehn, Ramin Shanehsaz, Christian Reuter
cs.CR updates on arXiv.org arxiv.org
The field of cybersecurity is evolving fast. Experts need to be informed
about past, current and - in the best case - upcoming threats, because attacks
are becoming more advanced, targets bigger and systems more complex. As this
cannot be addressed manually, cybersecurity experts need to rely on machine
learning techniques. In the texutual domain, pre-trained language models like
BERT have shown to be helpful, by providing a good baseline for further
fine-tuning. However, due to the domain-knowledge and many …
More from arxiv.org / cs.CR updates on arXiv.org
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